Enterprise AI Reporting Solutions
Accelerate workflows, enhance patient engagement, and optimize efficiencies with powerful AI-driven lab report solutions.
Lab Automation
Batch process and auto-interpret
lab results at any scale
Multi-Branch AI Reporting
Seamlessly deploy AI reporting across
your entire organization
Intelligent Patient Portals
Provide easy access to AI-generated
smart reports for patients
Smart Report
Templates
Choose pre-designed clinical templates and customize to your lab.
- Clinical Summary
- Trend Summary
- Patient Friendly
How Diagnobot Works
AI-Powered Smart Lab Interpretation
From raw lab values to meaningful insights, instantly.
+ Upload
Lab Report
You can upload reports as PDF, photo, or text input
ML-driven clinical
Interpretation
Risk, scoring, trends, multi-parameter evaluation
AI Medical
interpretation Engine
Detects abnormalities, trends over time, organ-system risk mapping
Smart Report
Generation
Smart summary + AI Insights + Trends + Lifestyle guidance
What Powers Diagnobot
Diagnobot brings together computer vision, clinical language models, and machine learning so every lab report—whether it arrives as a PDF, a photo, or structured data—can be read, understood, and turned into clear guidance for clinicians and patients.
Behind the scenes, an OCR pipeline digitizes messy layouts, medical NLP normalizes terms and units, ML models score risk and surface trends, and a visualization layer turns numbers into wellness scores, organ views, and patient-friendly summaries you can trust at scale.
The result is faster turnaround, fewer manual interpretations, and a single stack you can deploy across branches, portals, and automation workflows—without replacing your existing LIS or lab operations.
OCR
Pipeline
Reads complex lab reports from all labs (PDFs/Photos)
NLP Medical Understanding
Identifies biomarkers even when written in any format
ML-driven Clinical Interpretation
Risk scoring, trends, multi-parameter evaluation
AI Visualization Engine
Generate graphs, wellness score, organ dashboard